Examples

These examples demonstrate how to use Deepwave. Each is designed to show different features of Deepwave, so I recommend that you read and try to understand all of them.

• Forward modelling with Marmousi velocity model
• Full-Waveform Inversion (FWI)
• Least-Squares Reverse-Time Migration (LSRTM)
• Reducing memory usage by accumulating gradients over batches
• Further reducing memory consumption with checkpointing
• Using Batched Models
• Visualising wavefields and gradients with callbacks
• Matching a target final wavefield
• Location interpolation and dipoles
• Frequency tapering and time padding
• Distributed (multi-GPU) execution
• Elastic propagation and FWI
• Generated model
• Large gradients at edges
• Graph Space Optimal Transport
• Joint Migration Inversion
• Hessian
• Custom imaging condition